@article{(Open Science Index):https://publications.waset.org/pdf/11765, title = {Information Fusion for Identity Verification}, author = {Girija Chetty and Monica Singh}, country = {}, institution = {}, abstract = {In this paper we propose a novel approach for ascertaining human identity based on fusion of profile face and gait biometric cues The identification approach based on feature learning in PCA-LDA subspace, and classification using multivariate Bayesian classifiers allows significant improvement in recognition accuracy for low resolution surveillance video scenarios. The experimental evaluation of the proposed identification scheme on a publicly available database [2] showed that the fusion of face and gait cues in joint PCA-LDA space turns out to be a powerful method for capturing the inherent multimodality in walking gait patterns, and at the same time discriminating the person identity.. }, journal = {International Journal of Computer and Information Engineering}, volume = {5}, number = {5}, year = {2011}, pages = {515 - 520}, ee = {https://publications.waset.org/pdf/11765}, url = {https://publications.waset.org/vol/53}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 53, 2011}, }